Rapid detection method for geometric model error of remote sensing image

Abstract

The invention discloses a rapid detection method for geometric model errors of a remote sensing image, and the method comprises the steps of obtaining a satellite attitude data file and a meta-information file of a to-be-detected image, and extracting the information of the to-be-detected image from the meta-information file, wherein the information of the to-be-detected image comprises a scene number of the to-be-detected image and a first imaging time range corresponding to the scene number; acquiring a second imaging time range corresponding to a strip where the to-be-detected image is located from the satellite attitude data file according to the scene number; judging whether the first imaging time range is within a second imaging time range or not; if not, forming first early warning information and outputting information of the to-be-detected image, wherein the first early warning information is used for indicating that the to-be-detected image may have whole-scene wave band dislocation. The technical problem of low detection efficiency and precision in the prior art is solved.

Description

technical field [0001] The present application relates to the technical field of remote sensing image detection, in particular to a rapid detection method for geometric model errors of remote sensing images. Background technique [0002] The Gaojing-1 satellite's Charge Coupled Device (CCD) device focal plane stitching camera uses 4 panchromatic multi-spectral five-color TDICCDs to stitch the mirrors into a straight line. According to the precise real position of each detector element in each spectral segment of each CCD device in the camera, the imaging time data, integration time data, attitude data, orbit data and scene cataloging information data of each row of images, sensor calibration is performed to construct each detector element Observation vectors, uniformly solve problems such as geometric distortion, geometric splicing, imaging time normalization, and band registration, and realize the unification of the resolution of each detector element, thereby ensuring the ...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by this application is: to solve the problem of low detection efficiency and precision in the prior art, this application provides a rapid detection method for geometric model errors of remote sensing images. In the solution provided by the embodiment of this application, on the one hand Avoid the problems of large number of images and low detection efficiency and accuracy caused by manual detection through automatic detection. On the other hand, avoid automatic matching of images by obtaining feature points with the same name through SIFT algorithm, mutual information or phase consistency algorithms. During the detection process, due to the possible existence of bad pixels in each band of the camera, several gray-scale resamplings in the process of image radiation geometry processing, or the single texture of water and desert images, and the finer texture of farmland and woodland images, etc., the impact Automatic matching accuracy, resulting in the problem of false detection

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